This paper is in the following e-collection/theme issue:

Neurotech Innovations, Diagnostic Tools and Techniques (55) Telehealth and Telemonitoring (2140) Wearable Devices and Sensors (1177) mHealth for Data Collection and Research (1223) Machine Learning (2173) Fitness Trackers and Smart Pedometers/Accelerometers (684)

Published on in Vol 2 (2023)

This is a member publication of University College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43351, first published .
A Novel System to Monitor Tic Attacks for Tourette Syndrome Using Machine Learning and Wearable Technology: Preliminary Survey Study and Proposal for a New Sensing Device

A Novel System to Monitor Tic Attacks for Tourette Syndrome Using Machine Learning and Wearable Technology: Preliminary Survey Study and Proposal for a New Sensing Device

A Novel System to Monitor Tic Attacks for Tourette Syndrome Using Machine Learning and Wearable Technology: Preliminary Survey Study and Proposal for a New Sensing Device

Authors of this article:

Agni Rajinikanth1 Author Orcid Image ;   Davis Kevin Clark2 Author Orcid Image ;   Marianna Evangelia Kapsetaki3 Author Orcid Image
Article Authors Cited by (4) Tweetations (8) Metrics

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  2. Harmon S, Reese H. The Role of Digital Tools in Meeting the Needs of Adults with Tourette Syndrome: A National Web-Based Survey (Preprint). JMIR Formative Research 2025 View
  3. Mohamed S, Ben-Jaafar A, Frimpong M, Roy S, Sanker V, Nkrumah-Boateng P, Imran S, Mumeen A, Mohamed S, Wireko A. Applying artificial intelligence in neurodevelopmental disorders management and research. European Journal of Medical Research 2026;31(1) View

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  1. Darkis A, Cerna P. 2025 6th International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS). Performance Analysis of Machine Learning Model of Speech and Tic Recognition for Early Diagnosis of Tourette Syndrome View